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# AI/NLP/Data Engineer

- **Company:** ProntoPro
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Business Software, Cloud Computing, Information Engineering, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Deep Learning, AI Platforms, Information Technology, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://es.trabajo.org/oferta-5001-94035367fbabc306aab058468755efc3

## About the Role

initiatives related to AI and machine learning. - Make thoughtful technology decisions that balance innovation, scalability, and business impact. Requirements - 3+ years of experience in AI, machine learning, NLP, data engineering, or related technical fields. - Master's degree or equivalent experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Science, or a related discipline. - Proven experience building production-quality AI systems involving generative AI, NLP, speech processing, deep learning, or similar technologies. - Strong software engineering skills with experience developing reliable, scalable applications. - Experience designing and deploying machine learning models with limited training data. - Strong understanding of AI/ML development workflows, experimentation frameworks, and model deployment practices. - Ability to quickly learn new technologies, research emerging techniques, and turn ideas into production-ready solutions. -

## Description

practical, impactful machine learning solutions in a fast-growing environment. Accountabilities - Build, improve, and deploy NLP, generative AI, and machine learning models that support intelligent digital engagement solutions. - Develop scalable infrastructure for AI modeling, experimentation, training, deployment, monitoring, and continuous improvement. - Design and maintain data processing pipelines, AI trainer tools, and workflows that enable efficient model development. - Research, prototype, and implement algorithmic improvements to enhance model accuracy, performance, and scalability. - Develop machine intelligence solutions tailored to customer needs and industry-specific use cases. - Monitor, debug, and optimize AI models running in production environments. - Collaborate with platform and engineering teams to create tools and capabilities that accelerate AI development and deployment. - Contribute to technical documentation, knowledge sharing, and internal training


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